ManageEngine Log360

NOMINATION HIGHLIGHTS

Log360 represents a measurable evolution in SIEM design by addressing the structural weaknesses of traditional platforms: excessive alert noise and fragmented investigation workflows. Rather than operating as a passive log repository, Log360 delivers precision-driven detection, contextual investigation, and operational scalability within a unified architecture.

Its innovation lies in how detection is engineered and continuously refined. Log360 centralizes log ingestion from over 750 sources and applies real-time correlation across domain controllers, DNS servers, endpoints, network devices, and cloud services to identify coordinated attack patterns rather than isolated alerts. Detection is strengthened through Vigil IQ, which provides more than 2,000 cloud-delivered security use cases mapped to ATT&CK techniques. These are continuously updated to reflect evolving threat behavior.

Detection quality is further strengthened through integrated external threat intelligence. Log360 consumes STIX and TAXII feeds along with intelligence sources such as VirusTotal, AlienVault OTX, Webroot, and Constella Intelligence. Internal events are enriched with malicious IP indicators, domain reputation, file hash validation, and adversary context, increasing investigative accuracy while reducing false positives.

Proactive exposure monitoring extends this model. Built-in dark web monitoring identifies leaked credentials and supply chain exposures before exploitation, allowing organizations to mitigate identity-based risk preemptively.

Log360 includes native DLP and CASB capabilities. Built-in data discovery and classification identify sensitive data such as PII and ePHI, while file integrity monitoring and behavioral analytics detect abnormal file access or exfiltration attempts. Its integrated CASB provides visibility into sanctioned and unsanctioned SaaS usage, shadow IT, and cloud access patterns, extending monitoring beyond the traditional perimeter.

Alert fatigue is reduced through ML-driven adaptive thresholds, dynamic peer grouping, and granular object-level filtering. UEBA establishes behavioral baselines across users and entities, assigning contextual risk scores to deviations in logon activity, privilege use, and file access patterns. This precision tuning model improves signal-to-noise ratio without disabling detection coverage.

Investigation and response are unified within the Incident Workbench, which correlates users, devices, processes, timelines, and threat intelligence into a structured triage environment. Zia Insights enhances this by generating AI-powered incident summaries and ATT&CK-aligned attack timelines, reducing manual reconstruction effort. Automated playbooks and ITSM integrations enable immediate containment from the same console.

The impact is operational and financial.

For example:
– Samsung R&D Institute centralized 365-day log retention and compliance reporting across dynamic Linux environments without increasing administrative headcount.

– Mitsubishi Elevator Europe reduced manual audit preparation effort and automated ISO 27001 reporting, lowering operational overhead while improving consistency in compliance.